Datasets › CARBEN
CARBEN (Composite Adversarial Robustness Benchmark)
Prior literature on adversarial attack methods has mainly focused on attacking with and defending against a single threat model, e.g., perturbations bounded in Lp ball. However, multiple threat models can be combined into composite perturbations. One such approach, composite adversarial attack (CAA), not only expands the perturbable space of the image, but also may be overlooked by current modes of robustness evaluation. To this end, we proposed CARBEN, a benchmark of composite adversarial robustness that accurately reflects the composite robustness of the considered models.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
Variants archive 2025-07-28
- CARBEN
1 variant name, as the archive lists them.
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